Forward deployed engineer jobs that mention Apache Spark

Apache Spark shows up in the posting text of these roles. It is extracted from prose the employer wrote, not from a structured field, so treat it as a strong hint about the work rather than a stated requirement — the row badges show the requirements that are stated (clearance, work authorization, customer site, travel).

Last refreshed 2026-09-29 · 11 roles · 7 companies

  • 11 roles tracked
  • 7 companies
  • 2 remote-friendly
  • 3 with disclosed pay

Extracted automatically from public job postings. Always verify details on the original posting before applying.

Manager, Forward Deployed Engineering - CMEG

Databricks USA FDE Onsite

Lead a team of Forward Deployed Engineers to deliver mission-critical solutions to enterprise customers.

DatabricksSparkAgentsCloud migrationsAI transformationReal-time intelligenceData migrationsLegacy modernization

211800 – 291300 USD / yearly 2026-09-27 Original posting ↗
    Customer site

Resident Solution Architect

Starburst US, Central FDE Onsite

Collaborate with customers to design and implement Starburst solutions, and provide technical guidance on using Starburst products.

PythonJavaSQLRAGKubernetesDockerAWSAzure

    CPS Solution Architect

    Collibra Remote, USA FDE Remote

    Supports federal customer engagements with Collibra products, delivering mission-aligned architectural design and execution.

    PythonJavaKubernetesAWSAzureSparkData GovernanceData Management

      ClearanceCitizenship

    Senior Machine Learning Engineer

    Klaviyo Palo Alto, CA Applied AI Onsite

    Train and deploy large-scale Machine Learning models in production systems to improve product value for customers.

    PyTorchTensorFlowSparkHugging FaceAgentsMachine LearningDeep LearningRecommender Systems

      Manager, Commercial Solution Engineering

      Sigma Computing San Francisco FDE Hybrid

      Manage a team of Commercial Solution Engineers, hiring, coaching, and developing them to drive business results.

      DatabricksSparkAgentsSolution EngineeringSalesCustomer SuccessProductMarketing

        Staff AI/ML Engineer

        Sigma Computing New York City, NY Applied AI Onsite

        Builds and deploys production-grade AI/ML systems, partnering with teams to identify opportunities and develop infrastructure.

        PythonSQLAWSAzureGCPDatabricksSparkAgents

        $240,000 – $270,000 / yr 2026-06-09 Original posting ↗

          Senior AI/ML Engineer

          Sigma Computing New York City, NY Applied AI Onsite

          Builds AI/ML systems, prototypes, and infrastructure for a data analytics platform.

          PythonSQLAWSAzureGCPDatabricksSparkAgents

          $240,000 – $270,000 / yr 2026-06-09 Original posting ↗

            Solutions Engineer

            Lithic New York, New York, United States; San Francisco FDE Onsite

            Serve as a technical advisor to clients, leading discovery conversations, translating client needs into integration designs, and owning client relationships.

            SparkLithic's APIscard issuing workflowscard issuing infrastructureAPIsintegration decisionsauthorization flowstransaction processing

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              Sources: company hiring systems (Greenhouse, Lever, SmartRecruiters) plus public job APIs.

              • This page is generated from the same job records as the job tracker; every row links to the original posting on the employer's own hiring system.
              • Extracted automatically from public job postings. Always verify details on the original posting before applying.
              • You apply on the company site — we never collect applications.
              • There is deliberately no "on-site" aggregation here: for a large share of the postings, on-site would be our inference from a non-empty location field, not something the employer stated.

              Hard requirements to check first — clearance, work authorization, visa sponsorship, travel and customer-site requirements are extracted from the posting text, so you can filter them out before spending time on an application.

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